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Entry Level Chemical Data Analyst Jobs (NOW HIRING)

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

Kearney is currently seeking a Data Analyst to join our team ... Specifically seeking future or entry level candidates majoring Computer Science, Statistics ...

Gotion Inc.

Data Analyst

Manteno, IL · On-site

This is an exciting opportunity for students or entry level candidates who are passionate about data processing, analytics, and AI-driven insights. You will work on real-world projects, helping to ...

Tech Consulting

Be Seen First

Junior Data Analyst

Newark, NJ · On-site

$30 - $40/hr

Entry Level Data Engineer Full-Time Candidate must be open to relocate Responsibilities: * Work ... Write and execute SQL queries to extract, transform, and analyze data. * Create and maintain Hive ...

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How much do entry level chemical data analyst jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level chemical data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What does an entry level chemical data analyst do?

An Entry Level Chemical Data Analyst is responsible for collecting, processing, and analyzing chemical data to support research, product development, or quality control in industries such as pharmaceuticals, manufacturing, or environmental science. They use various analytical tools and software to interpret data, create reports, and help make data-driven decisions. Typically, they collaborate with chemists, engineers, and other analysts to ensure data accuracy and meet project objectives. This role is ideal for those with a background in chemistry, data analysis, or related fields, and often serves as a stepping stone to more advanced analytical or research positions.

What are the key skills and qualifications needed to thrive as an entry level chemical data analyst?

To thrive as an Entry Level Chemical Data Analyst, you need a solid background in chemistry, data analysis, and statistics, typically supported by a bachelor's degree in chemistry or a related field. Familiarity with data analysis tools such as Excel, Python, R, and chemical databases is commonly required. Analytical thinking, attention to detail, and effective communication skills help you interpret complex data and convey findings clearly. These skills ensure accurate data management, insightful analysis, and successful collaboration on scientific projects.

What types of projects and data sets can an entry level chemical data analyst expect to work with?

As an Entry Level Chemical Data Analyst, you’ll typically work with large data sets originating from laboratory experiments, chemical process monitoring, and quality control reports. Projects may include analyzing chemical compositions, tracking process efficiencies, or assisting in the development of predictive models for product quality. You’ll use industry-standard software tools to clean, visualize, and interpret data, often collaborating closely with chemists, engineers, and senior analysts. This role provides valuable exposure to various aspects of chemical manufacturing and research, fostering both technical and teamwork skills.
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Entry Level Chemical Data Analyst jobs near you
Infographic showing various Entry Level Chemical Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 15 days ago

Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary


We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
    Strong knowledge of data analysis, statistical techniques, and data visualizations
    Experience working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.

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